A. Adam, E. Rivlin, and I. Shimshoni, Robust Fragments-based Tracking using the Integral Histogram, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.256

D. P. Chau, F. Bremond, E. Corvee, and M. Thonnat, Repairing people trajectories based on point clustering, the International Conference on Computer Vision Theory and Applications, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00496818

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

P. Dollar, C. Wojek, B. Schiele, and P. Perona, Pedestrian detection: A benchmark, 2009 IEEE Conference on Computer Vision and Pattern Recognition, p.CVPR, 2009.
DOI : 10.1109/CVPR.2009.5206631

Y. Freund and R. Schapire, A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting, Journal of Computer and System Sciences, vol.55, issue.1, 1997.
DOI : 10.1006/jcss.1997.1504

C. Huang and R. Nevatia, High performance object detection by collaborative learning of Joint Ranking of Granules features, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540230

M. Hussein, F. Porikli, and L. Davis, Object detection via boosted deformable features, 2009 16th IEEE International Conference on Image Processing (ICIP), 2009.
DOI : 10.1109/ICIP.2009.5414561

L. Jordao, M. Perrone, J. Costeira, and J. Santos-victor, Active face and feature tracking, Proceedings 10th International Conference on Image Analysis and Processing, 1999.
DOI : 10.1109/ICIAP.1999.797657

I. Laptev, Improvements of Object Detection Using Boosted Histograms, Procedings of the British Machine Vision Conference 2006, 2006.
DOI : 10.5244/C.20.97

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

S. Mckenna, S. Gong, and J. Collins, Face Tracking and Pose Representation, Procedings of the British Machine Vision Conference 1996, p.BMVC, 1996.
DOI : 10.5244/C.10.31

K. Mikolajczyk, B. Leibe, and B. Schiele, Multiple Object Class Detection with a Generative Model, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.202

K. Mikolajczyk, C. Schmid, and A. Zisserman, Human Detection Based on a Probabilistic Assembly of Robust Part Detectors, p.ECCV, 2004.
DOI : 10.1007/978-3-540-24670-1_6
URL : https://hal.archives-ouvertes.fr/inria-00548537

A. Mohan, C. Papageorgiou, and T. Poggio, Example-based object detection in images by components, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.4, pp.349-361, 2001.
DOI : 10.1109/34.917571

K. Schwerdt and J. Crowley, Robust face tracking using color, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580), 2000.
DOI : 10.1109/AFGR.2000.840617

V. K. Singh, B. Wu, and R. Nevatia, Pedestrian tracking by associating trackets using detection residuals, Computing, pp.1-8, 2008.

R. Suguna, N. Sudha, and C. Sekhar, A Fast and Efficient Face Detection Technique Using Support Vector Machine, ICONIP 2004, 2004.
DOI : 10.1007/978-3-540-30499-9_51

J. Trefny and J. Matas, Extended Set of Local Binary Patterns for Rapid Object Detection, pp.2010-2020, 2010.

O. Tuzel, F. Porikli, and P. Meer, Pedestrian Detection via Classification on Riemannian Manifolds, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, 2008.
DOI : 10.1109/TPAMI.2008.75
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.336.4231

J. Varona, J. Buades, and F. Perales, Hands and face tracking for VR applications, Computers and Graphics, pp.179-187, 2005.
DOI : 10.1016/j.cag.2004.12.002
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.4262

P. Viola and M. Jones, Robust real-time face detection, In: International Journal of Computer Vision, 2004.

X. Wang, T. Han, and S. Yan, An HOG-LBP human detector with partial occlusion handling, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459207

B. Wu and R. Nevatia, Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors, International Journal of Computer Vision, vol.I, issue.4, pp.951-958, 2006.
DOI : 10.1007/s11263-006-0027-7

M. H. Yang, D. J. Kriegman, and A. Narendra, Detecting faces in images: a survey, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.1, pp.34-58, 2002.
DOI : 10.1109/34.982883

Q. Zhu, S. Avidan, M. Yeh, and K. Cheng, Fast human detection using a cascade of histograms of oriented gradients, Computer Vision and Pattern Recognition - CVPR, 2006.